Bingwei Gao

Harbin University of Science and Technology

Papers

Total Citations

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About

Bingwei Gao is a robotics researcher focused on advancing the control and stability of hydraulically driven quadruped robots. His work centers on three key areas: precise position control of robotic joints, force/position switching control for smooth locomotion, and disturbance suppression to enhance robot stability. Gao’s most cited paper, “Research on Position Recognition and Control Method of Single-leg Joint of Hydraulic Quadruped Robot” (2021, 6 citations), develops a mathematical model for precise joint position control, addressing the need for adaptable system parameters during motion. His 2024 study on force/position switching control (4 citations) introduces segmented control strategies to manage foot-ground contact transitions, preventing excessive impact forces. Additionally, his 2022 work on disturbance suppression (3 citations) proposes a virtual spring-damping model to mitigate body disturbances from self and external interference, improving overall locomotion stability. These contributions demonstrate Gao’s commitment to solving fundamental challenges in quadruped robotics, from joint-level control to whole-body stability. His research is particularly relevant for students and engineers working on legged robots, offering practical solutions for hydraulic actuation systems and real-time control strategies.